Present day approaches to discrete event simulation can be broadly classified as using either special purpose data-driven simula tion systems or general purpose simulation languages. Although the latter embrace a far wider range of applications and offer much greater flexibility in modeling for a particu lar application, their user base is restricted by the high level of expertise required. An Expert System interface to general purpose simulation languages, ISI (the Intelligent Simulation Interface), is pre sented here. Models are constructed and simulation runs are performed in an integrated environment comprising interactive menu-driven graphics, a knowledge base system and a general purpose simulation language. The features of ISI include hierarchical model construc tion, interactive experiment specification, automatic code generation, run-time animation and interactive graphical post- processing of results. An example case study is presented illustrating the main aspects of ISI. The ISI interface is shown to extend a general purpose language into an intelligent simulation environment.
[1]
Marvin Minsky,et al.
A framework for representing knowledge
,
1974
.
[2]
Heimo H. Adelsberger,et al.
Expert systems and simulation
,
1985
.
[3]
H. Penny Nii,et al.
The Handbook of Artificial Intelligence
,
1982
.
[4]
James O. Henriksen,et al.
The Integrated Simulation Environment (Simulation Software of the 1990s)
,
1983,
Oper. Res..
[5]
Li Lin,et al.
Optimization of a complex flow line for printed circuit board fabrication by computer simulation
,
1987
.
[6]
A. Alan B. Pritsker,et al.
Introduction to simulation and SLAM II
,
1979
.